Decoding competitor pricing intelligence
Competitive Intelligence Alliance
Competitive Intelligence is a must-have for any business looking to grow fast and sustainably in busy modern markets.
Pricing is one of the most crucial parts of a company’s strategy due to its immense impact on revenue.?
It is also a very sensitive topic because of this direct connection to revenue, and companies don’t rush to publicly reveal their pricing plans and strategies.?
Competitive Intelligence (CI) professionals play a crucial role in identifying, gathering, and analyzing competitor pricing data to inform strategic decision-making.?
From my experience, companies that are very private about their pricing are either startups that probably want to leave more room for flexibility in their first deals or more “legacy” companies with complicated pricing models that may scare customers away right off the bat. But even then, you’ll usually be able to get a certain understanding of what that model looks like.?
In my opinion, the cloud of secrecy hovering over the topic and how difficult it can be to uncover these insights only make it more satisfying when you are able to form a relatively clear picture of the pricing landscape.
In this post, I’ve gathered some of my personal best practices for acquiring competitor pricing intelligence and transforming that data into actionable insights. I’ve focused on what usually works for me, and I hope you find a few useful tips!
Step 1: Setting clear objectives and defining the scope
Any good research project starts with defining its objectives, and pricing intelligence is no different.?
Before diving into data collection, understand what you need to achieve. If you are working with a stakeholder like a Product Manager or Pricing Strategist, align on the goal of your research. Whether you aim to benchmark industry standards, uncover trends, or get intelligence on competitors’ discount strategies, understanding your goal shapes your research and analysis strategy.?
The most common compelling event for pricing research is a new product launch, when the organization needs to figure out how to price that new product against existing competitors in the market. The goal here would be to conduct a comparative analysis to provide stakeholders with visibility on the industry benchmark and how others price similar solutions so they can better price their own solution.
Another example of a research goal is to uncover competitors’ discounting strategies and help your organization understand how other companies deal with customer engagements in order to compete better and provide similar or better discounts. This will involve questions like:?
No matter the goal, you will also need to define the scope of competitors relevant to the specific study—select direct and indirect competitors with similar target markets or product offerings.?
Note that when entering a new domain or launching a new product, this might not be 100% obvious—remember to look further than just your direct competitors and search for other solutions that solve the same pain for customers.?
You might have to go through a few iterations to get it right.
Step 2: Sourcing data from reliable sources
Competitor pricing data can be sourced from a variety of places:
Like what you're reading so far? Check out more of Gal Toren's insights in her article on quantifying your competitor analysis.
These are my own tried and true sources, to which I will turn to first and usually do the job:
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Step 3: Analysis
Like everything in CI, the key is to not only gather pricing data but also to extract actionable insights that inform strategic decisions and contextualize the data within broader market dynamics and competitor strategies.
Naturally, the type of analysis will change according to the research goal.?
Here’s what I normally take into consideration when analyzing competitor pricing:
Step 4: Communicating insights to stakeholders
I’m sure you’ve done a great job collecting and analyzing the data – but it doesn’t end there.
Turning data into strategy requires effective communication. Delivering insights that are clear, relevant, and aligned with stakeholder needs ensures that pricing intelligence drives decision-making.
Tailoring your findings to different stakeholders is essential. Executives may require high-level summaries, while pricing teams might need detailed data analysis.
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